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Image recognition on Arm Cortex-M with CMSIS-NN in 5 steps

Arm®

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Intermediate. Assumes working knowledge.

14K views7 years ago1 recommendation

AI and machine learningSystems programmingComputer visionEmbedded systemsNeural networks and deep learning

Arm demonstrates how to run a real-time image recognition application on an Arm Cortex-M7 development board using the CMSIS-NN library.

A walkthrough demo of a real time image recognition application on an Arm Cortex-M7 development board. Here, we are using a CNN Caffe model trained with the CIFAR-10 dataset and optimized it for embedded devices using the CMSIS-NN machine learning inference library. See the full instructions in our how to guide: developer.arm.com/ml-cortex-m-image-guide

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What people say. Recommended as a resource for implementing image and face recognition on Cortex-M microcontrollers.

u/shipswimwearin r/embedded • Recommends

On “Cortex M4 Project”

Lined resources? Are you joking? https://openmv.io/products/openmv-cam https://www.ti.com/lit/pdf/tiduc98 https://www.nxp.com/design/designs/nxp-edgeready-mcu-based-solution-for-face-recognition-with-liveness-detection:SLN-VIZNAS-IOT?tid=vanMCU-VISION2 link to this video https://www.digikey.com/en/articles/how-to-quickly-add-a-facial-recognition-camera-to-an-mcu
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